System and methods for determining modified fractional flow reserve values

1. A system for determining modified fractional flow reserve values, comprising: an angiographic system configured to receive angiographic images of a coronary vascular system; a vascular measurement system configured to receive blood flow measurements of the coronary vascular system; and a computer system including at least one processor configured to execute computer instructions to: generate a coronary vascular model according to the angiographic images and the blood flow measurements, the coronary vascular model including an arterial tree and a blood flow field describing blood flow and blood pressure, identify at least one lesion of interest within the coronary vascular model, generate a modified coronary vascular model according to a removal of the lesion of interest, and determine a modified fractional flow reserve value for the lesion of interest according to the coronary vascular model and the modified coronary vascular model.

2. The system of claim 1 , wherein the at least one processor is further configured to generate the coronary vascular model by generating a network model including a network graph and containing information about a plurality of blood vessel branches, a plurality of vascular nodes, blood pressure within the plurality of blood vessel branches, and blood flow within the plurality of blood vessel branches.

3. The system of claim 1 , wherein the at least one processor is further configured to generate the coronary vascular model by generating a computational model according to finite element analysis methods.

4. The system of claim 1 , wherein the at least one processor is further configured to generate the modified coronary vascular model by generating a modified flow field including a modified blood flow and a modified blood pressure, and wherein determining the modified fractional flow reserve value includes determining the modified fractional flow reserve value according to the modified blood flow.

5. The system of claim 1 , wherein the at least one processor is further configured to identify the lesion of interest by requesting input from a user.

6. The system of claim 1 , wherein the at least one processor is further configured to identify the lesion of interest according to the angiographic images.

7. The system of claim 1 , wherein the at least one processor is further configured to identify the lesion of interest according to the blood flow measurements.

8. The system of claim 1 , wherein the vascular measurement system is further configured to receive a fractional flow pressure measurement of the lesion of interest and the at least one processor is further configured to identify the lesion of interest according to the fractional flow pressure measurement.

9. The system of claim 1 , wherein the at least one processor is further configured to identify lesions for treatment based on the modified fractional flow reserve value.

10. The system of claim 1 , wherein the at least one processor is further configured to generate the modified coronary vascular model according to removal of a plurality of lesions of interest.

11. A computer-implemented method for determining modified fractional flow reserve values, the method to be carried out by at least one processor executing computer instructions, the method comprising: receiving, by an angiographic measurement system, angiographic images of a coronary vascular system; receiving, by a vascular measurement system, blood flow measurements of the coronary vascular system; generating, by the processor, a coronary vascular model according to the angiographic images and the blood flow measurements, the coronary vascular model including an arterial tree and a blood flow field describing blood flow and blood pressure; identifying, by the processor, at least one lesion of interest within the coronary vascular model; generating, by the processor, a modified coronary vascular model according to a removal of the lesion of interest; and determining, by the processor, a modified fractional flow reserve value for the lesion of interest according to the coronary vascular model and the modified coronary vascular model.

12. The method of claim 11 , wherein generating the coronary vascular model includes generating a network model including a network graph and containing information about a plurality of blood vessel branches, a plurality of vascular nodes, blood pressure within the plurality of blood vessel branches, and blood flow within the plurality of blood vessel branches.

13. The method of claim 11 , wherein generating the coronary vascular model includes generating a computational model according to finite element analysis methods.

14. The method of claim 11 , wherein generating the modified coronary vascular model includes generating a modified flow field including a modified blood flow and a modified blood pressure, and determining the modified fractional flow reserve value includes determining the modified fractional flow reserve value according to the modified blood flow.

15. The method of claim 11 , wherein the identifying the lesion of interest includes requesting input from a user.

16. The method of claim 11 , wherein identifying the lesion of interest is performed according to the angiographic images.

17. The method of claim 11 , wherein identifying the lesion of interest is performed according to the blood flow measurements.

18. The method of claim 11 , further comprising: receiving a fractional flow pressure measurement of the lesion of interest; and identifying the lesion of interest according to the fractional flow pressure measurement.

19. The method of claim 11 , further comprising identifying lesions for treatment based on the modified fractional flow reserve value.

20. The method of claim 11 , wherein generating the modified coronary vascular model is performed according to removal of a plurality of lesions of interest.